A Computational Approach to Humanistic Research
Buch, Englisch, 345 Seiten, Paperback, Format (B × H): 155 mm x 235 mm, Gewicht: 575 g
ISBN: 978-3-031-46975-6
Verlag: Springer International Publishing
Ashley R. Sanders explores how digital research methods can be used to study archival specters – people who lived, breathed, and made their mark on history, but whose presence in the archives and extant documents remains limited, at best, if not altogether lost. Although digital tools cannot metaphorically resurrect the dead nor fill archival gaps, they can help us excavate the people-shaped outlines of those who might have filled these spaces.
The six methodological chapters explain why and how each research method is used, present the visual and quantitative results, and analyze them within the context of the historical case study. In addition, every dataset is available on SpringerLink as Electronic Supplementary Material (ESM), and each chapter is accompanied by one or more video tutorials that demonstrate how to apply each of the techniques described (accessed via the SN More Media App).
Zielgruppe
Upper undergraduate
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Angewandte Informatik Computeranwendungen in Geistes- und Sozialwissenschaften
- Geisteswissenschaften Geschichtswissenschaft Geschichtswissenschaft Allgemein Historiographie
- Geisteswissenschaften Geschichtswissenschaft Weltgeschichte & Geschichte einzelner Länder und Gebietsräume Geschichte einzelner Länder Asiatische Geschichte
- Geisteswissenschaften Geschichtswissenschaft Geschichtswissenschaft Allgemein Geschichtswissenschaft: Theorie und Methoden
- Geisteswissenschaften Geschichtswissenschaft Weltgeschichte & Geschichte einzelner Länder und Gebietsräume Geschichte einzelner Länder Afrikanische Geschichte
Weitere Infos & Material
1. Getting Started.- 2. Understanding the Context.- 3. Detecting Bias in Textual Sources.- 4. Humanistic Data—Classifying Individuals & Visualizing Silences.- 5. Data Aggregation and Exploratory Visualization.- 6. Descriptive Statistics—Investigating Questions of Representativeness.- 7. Testing Relationships between Categorical Variables.- 8. Social Network Analysis—Identifying Women’s Socio-Political Roles.- 9. Where do We Go from Here?